Abstract
SemEval-2015 Task 12, a continuation of SemEval-2014 Task 4, aimed to foster research beyond sentence- or text-level sentiment classification towards Aspect Based Sentiment Analysis. The goal is to identify opinions expressed about specific entities (e.g., laptops) and their aspects (e.g., price). The task provided manually annotated reviews in three domains (restaurants, laptops and hotels), and a common evaluation procedure. It attracted 93 submissions from 16 teams.
Cite
CITATION STYLE
Pontiki, M., Galanis, D., Papageorgiou, H., Manandhar, S., & Androutsopoulos, I. (2015). SemEval-2015 Task 12: Aspect Based Sentiment Analysis. In SemEval 2015 - 9th International Workshop on Semantic Evaluation, co-located with the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2015 - Proceedings (pp. 486–495). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/s15-2082
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
